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I need all tests to be done using SPSS. some questions require results interpretation following APA style.

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Questions I. (50 points) A clinical psychologist is studying the relationship between self-reports of pain in response to a noxious stimulus (Y ), as a dependent variable, and hypnosis level (X1) and susceptibility to suggestion (X2). A randomly selected sample of college students participated in the study; their data follow. Table 1: Pain Study Data id pain hypnosis susceptibility 1 29 8 4 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 22 37 33 41 32 42 28 18 38 22 30 38 34 27 28 5 9 4 8 6 9 6 3 7 4 7 9 5 4 7 3 5 2 4 3 5 2 1 3 4 5 4 3 2 4 a. Determine the regression model (equation) in 1) raw score form, and 2) in standardized score form. Include the estimated equation for each and provide your interpretation for the meaning of the regression coefficients in both forms. b. Determine whether the multiple R2 is statistically significant, and explain the meaning of this test. Explain the R2 as an effect size measure. c. Determine if both predictors are meaningful in the regression model. Be sure to discuss effect size and tests of the regression coefficients. Explain your results. d. Obtain the incremental R2 due to the second predictor (X2) after X1 is already used in the regression model, and explain this incremental R2 in relation to the test for the regression coefficient of the second predictor in (e) above. e. Interpret these results and how they are related to the original research question. (at least one paragraph) II. (50 points) Use the attached SPSS (morrison.sav) or Rdata (morrison.Rdata) file for this question. The data contain information related to student evaluations of instructors of Master’s of Business (MBA) courses. The goal is to estimate the effect of each of the characteristics of the course evaluated by the students controlling for the other characteristics, as predictors of the overall instructor evaluation. The outcome is instructor course evaluation of an MBA course, 1 with four predictors being clarity, stimulation, knowledge, interest. Make sure your syntax labels the variables as follows, and that all variables are designated as numeric. Variable name Variable Label insteval Course evaluation of instructor clarity stimul knowledg interest coueval Use the data provided, and do the following: Clarity of presentations How stimulating were classes Instructors content knowledge How interesting was the course General course evaluations a. Run a multiple regression analysis and obtain a prediction equation. What is this prediction equation? Write out this prediction equation in raw score form. Explain the adequacy, or lack thereof, of this prediction equation for predicting instructor evaluation (prediction adequacy may be characterized by R2). b. Determine which predictors are meaningful in the regression model by testing regression coefficients. Describe your results as you would in a results section of an APA journal. c. Interpret the results of this analysis focusing on the goal presented above. (at least one paragraph) (The SPSS data for this question is on the next page) 2 3
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Explanation & Answer

The spss output and syntax files for both the questions
I have some minor changes due to typing errors, included an additional command in syntax of Q2 and collected everything at one place:Consider this to download:

Running Head: MULTIPLE REGRESSION ANALYSIS

Multiple Regression Analysis

Student Name:
Course Name:
Instructor Name:
Institute Name:
Date

MULTIPLE REGRESSION ANALYSIS

1

Multiple Regression Analysis
Multiple regression analysis is conceptually an extension of linear regression
analysis and is used when the value of a variable is predicted based on the values of two
or more other variables. The variable which is to be predicted is called the dependent
variable (also known as the target variable), and the variables upon which this predicted
variable is dependent upon are called the independent.

Analysis of Question 1: Pain study Dataset
Description of Dataset:
A clinical psychologist randomly selected a sample of 16-college students to
identify the relationship between self-reports of pain with noxious stimulus. The dataset
includes the pain, hypnosis level, and susceptibility to the suggestion of the students
who participated in the study.
The dataset is as follows:
Table 1: Pain Study Data
Id

Pain

Hypnosis

susceptibility

1

29

8

4

2
3
4
5
6
7
8
9
10
11
12
13
14
15
16

22
37
33
41
32
42
28
18
38
22
30
38
34
27
28

5
9
4
8
6
9
6
3
7
4
7
9
5
4
7

3
5
2
4
3
5
2
1
3
4
5
4
3
2
4

MULTIPLE REGRESSION ANALYSIS

2

Descriptive statistics of Dataset:

Table 2: Descriptive statistics of the pain study data
N

Minimum

Maximum

Mean

Std. Deviation

Pain

16

18

42

31.19

7.016

Hypnosis

16

3

9

6.31

1.991

Susceptibility

16

1

5

3.38

1.204

Valid N (listwise)

16

The descriptive statistics show that the average of the pain witnessed by the 16college students who participated in the study is 31.19, with a standard deviation of
7.016. The minimum and maximum observed pain is 18 and 42, respectively. The
average hypnosis level and susceptibility are 6.31 and 3.38.

Correlation between the variables :
Table 3: Correlations between variables
Pain

Pearson Correlation

Pain

Hypnosis

Susceptibility

1

.750**

.512*

.001

.043

Sig. (2-tailed)

Hypnosis

Susceptibility

N

16

16

16

Pearson Correlation

.750**

1

.782**

Sig. (2-tailed)

.001

N

16

16

16

Pearson Correlation

.512*

.782**

1

Sig. (2-tailed)

.043

.000

N

16

16

.000

16

**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).

The table above shows that the correlation between the pain and hypnosis level is 0.75
and the correlation between pain and susceptibility level is 0.512

MULTIPLE REGRESSION ANALYSIS

3

Regression Equation:
I) The line of best fit (Regression Line) depicting the relationship between pain and two
independent variable, namely hypnosis, and susceptibility in the suggestion in the raw
score form is given as:
𝑝𝑎𝑖𝑛
̂ = 14.941 + 3.172 𝑥 ℎ𝑦𝑝𝑛𝑜𝑠𝑖𝑠 − 1.119 𝑥 𝑠𝑢𝑠𝑐𝑒𝑝𝑡𝑖𝑏𝑖𝑙𝑖𝑡𝑦
Interpretation of the regression coefficients:
1. Every unit increment of hypnosis level score, there is an increment in pain by 3.172.
2. Every increment of a susceptibility score, there is ...


Anonymous
Very useful material for studying!

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